Run
8759674

Run 8759674

Task 3493 (Supervised Classification) monks-problems-2 Uploaded 31-12-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees597
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size2
mlr.classif.ranger(9)_sample.fraction0.605461313202977
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9994
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9867
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9704
Cross-validation details (10-fold Crossvalidation)
KB relative information score
400.3186
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.181
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9867
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9867
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.9867
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4016
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2178
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4589
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1728.7601
UserCPU time millis
2.885
UserCPU time millis testing
0.294
UserCPU time millis training
2.591